Titanic Dataset

Dataset statistics

Number of variables	13
Number of observations	7959
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	754.1 KiB
Average record size in memory	97.0 B

Variable types

Numeric	9
Categorical	3
Boolean	1

Warnings

`isLastSmallPeriod` has constant value "False"	Constant
`startDate` has a high cardinality: 1698 distinct values	High cardinality
`endDate` has a high cardinality: 1673 distinct values	High cardinality
`minDate` has a high cardinality: 1560 distinct values	High cardinality
`df_index` has unique values	Unique
`l_bias` has unique values	Unique

Reproduction

Analysis started	2021-01-10 15:13:08.501646
Analysis finished	2021-01-10 15:13:18.755232
Duration	10.25 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	7959
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10437.68891
Minimum	0
Maximum	20998
Zeros	1
Zeros (%)	< 0.1%
Memory size	62.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1041.9
Q1	5116.5
median	10391
Q3	15683
95-th percentile	20013.1
Maximum	20998
Range	20998
Interquartile range (IQR)	10566.5

Descriptive statistics

Standard deviation	6101.733843
Coefficient of variation (CV)	0.5845866741
Kurtosis	-1.216200541
Mean	10437.68891
Median Absolute Deviation (MAD)	5285
Skewness	0.01343791213
Sum	83073566
Variance	37231155.89
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
789	1	< 0.1%
13099	1	< 0.1%
18087	1	< 0.1%
9001	1	< 0.1%
11048	1	< 0.1%
19236	1	< 0.1%
13091	1	< 0.1%
15138	1	< 0.1%
4895	1	< 0.1%
Other values (7949)	7949	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
8	1	< 0.1%
10	1	< 0.1%
18	1	< 0.1%
23	1	< 0.1%

Value	Count	Frequency (%)
20998	1	< 0.1%
20994	1	< 0.1%
20993	1	< 0.1%
20989	1	< 0.1%
20984	1	< 0.1%

code
Real number (ℝ_≥0)

Distinct	296
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	367889.7845
Minimum	1
Maximum	603993
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	1
5-th percentile	538
Q1	2271
median	600066
Q3	600809
95-th percentile	601919
Maximum	603993
Range	603992
Interquartile range (IQR)	598538

Descriptive statistics

Standard deviation	280916.49
Coefficient of variation (CV)	0.763588721
Kurtosis	-1.707223803
Mean	367889.7845
Median Absolute Deviation (MAD)	1752
Skewness	-0.4551044012
Sum	2928034795
Variance	7.891407438 × 10¹⁰
Monotocity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300015	60	0.8%
600519	60	0.8%
2050	60	0.8%
2236	56	0.7%
600674	55	0.7%
2271	55	0.7%
661	55	0.7%
600809	55	0.7%
2475	55	0.7%
2311	54	0.7%
Other values (286)	7394	92.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	25	0.3%
2	32	0.4%
63	44	0.6%
69	29	0.4%
100	35	0.4%

Value	Count	Frequency (%)
603993	23	0.3%
603986	15	0.2%
603899	29	0.4%
603833	10	0.1%
603799	16	0.2%

lossRate
Real number (ℝ)

Distinct	7762
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-0.05721130744
Minimum	-0.3984575835
Maximum	-0.0001040907671
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	-0.3984575835
5-th percentile	-0.1409787552
Q1	-0.07695414302
median	-0.04684975767
Q3	-0.02641694786
95-th percentile	-0.00842167371
Maximum	-0.0001040907671
Range	0.3983534928
Interquartile range (IQR)	0.05053719516

Descriptive statistics

Standard deviation	0.0431035406
Coefficient of variation (CV)	-0.7534094662
Kurtosis	3.816888651
Mean	-0.05721130744
Median Absolute Deviation (MAD)	0.02382864142
Skewness	-1.544146049
Sum	-455.3447959
Variance	0.001857915212
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.06060606061	4	0.1%
-0.03846153846	4	0.1%
-0.05970149254	4	0.1%
-0.06666666667	4	0.1%
-0.02941176471	3	< 0.1%
-0.08333333333	3	< 0.1%
-0.02040816327	3	< 0.1%
-0.04285714286	3	< 0.1%
-0.03846153846	3	< 0.1%
-0.1	3	< 0.1%
Other values (7752)	7925	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.3984575835	1	< 0.1%
-0.3946203609	1	< 0.1%
-0.3438377535	1	< 0.1%
-0.3304014785	1	< 0.1%
-0.3173719376	1	< 0.1%

Value	Count	Frequency (%)
-0.0001040907671	1	< 0.1%
-0.0001629195178	1	< 0.1%
-0.0002994908655	1	< 0.1%
-0.0003404834866	1	< 0.1%
-0.000357079093	1	< 0.1%

startDate
Categorical

HIGH CARDINALITY

Distinct	1698
Distinct (%)	21.3%
Missing	0
Missing (%)	0.0%
Memory size	62.3 KiB

2019-02-25	56
2015-03-30	52
2014-12-08	46
2015-04-07	46
2015-03-23	41
Other values (1693)	7718

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	79590
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	426 ?
Unique (%)	5.4%

Sample

1st row	2011-05-03
2nd row	2013-01-22
3rd row	2013-02-01
4th row	2014-07-03
5th row	2014-11-11

Value	Count	Frequency (%)
2019-02-25	56	0.7%
2015-03-30	52	0.7%
2014-12-08	46	0.6%
2015-04-07	46	0.6%
2015-03-23	41	0.5%
2015-05-26	38	0.5%
2014-12-22	38	0.5%
2015-04-13	34	0.4%
2015-04-14	33	0.4%
2014-08-04	32	0.4%
Other values (1688)	7543	94.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
2019-02-25	56	0.7%
2015-03-30	52	0.7%
2014-12-08	46	0.6%
2015-04-07	46	0.6%
2015-03-23	41	0.5%
2015-05-26	38	0.5%
2014-12-22	38	0.5%
2015-04-13	34	0.4%
2015-04-14	33	0.4%
2014-08-04	32	0.4%
Other values (1688)	7543	94.8%

Most occurring characters

Value	Count	Frequency (%)
0	18531	23.3%
-	15918	20.0%
1	14452	18.2%
2	13667	17.2%
4	2944	3.7%
7	2690	3.4%
3	2688	3.4%
5	2561	3.2%
9	2293	2.9%
6	1993	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63672	80.0%
Dash Punctuation	15918	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	18531	29.1%
1	14452	22.7%
2	13667	21.5%
4	2944	4.6%
7	2690	4.2%
3	2688	4.2%
5	2561	4.0%
9	2293	3.6%
6	1993	3.1%
8	1853	2.9%

Value	Count	Frequency (%)
-	15918	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	79590	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	18531	23.3%
-	15918	20.0%
1	14452	18.2%
2	13667	17.2%
4	2944	3.7%
7	2690	3.4%
3	2688	3.4%
5	2561	3.2%
9	2293	2.9%
6	1993	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79590	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	18531	23.3%
-	15918	20.0%
1	14452	18.2%
2	13667	17.2%
4	2944	3.7%
7	2690	3.4%
3	2688	3.4%
5	2561	3.2%
9	2293	2.9%
6	1993	2.5%

endDate
Categorical

HIGH CARDINALITY

Distinct	1673
Distinct (%)	21.0%
Missing	0
Missing (%)	0.0%
Memory size	62.3 KiB

2015-05-27	49
2015-04-07	43
2019-04-01	42
2019-02-25	42
2014-12-04	39
Other values (1668)	7744

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	79590
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	422 ?
Unique (%)	5.3%

Sample

1st row	2011-05-20
2nd row	2013-01-29
3rd row	2013-03-01
4th row	2014-07-29
5th row	2014-11-28

Value	Count	Frequency (%)
2015-05-27	49	0.6%
2015-04-07	43	0.5%
2019-04-01	42	0.5%
2019-02-25	42	0.5%
2014-12-04	39	0.5%
2015-01-05	38	0.5%
2015-05-26	36	0.5%
2016-08-15	36	0.5%
2015-04-08	35	0.4%
2015-04-14	31	0.4%
Other values (1663)	7568	95.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
2015-05-27	49	0.6%
2015-04-07	43	0.5%
2019-04-01	42	0.5%
2019-02-25	42	0.5%
2014-12-04	39	0.5%
2015-01-05	38	0.5%
2015-05-26	36	0.5%
2016-08-15	36	0.5%
2015-04-08	35	0.4%
2015-04-14	31	0.4%
Other values (1663)	7568	95.1%

Most occurring characters

Value	Count	Frequency (%)
0	18728	23.5%
-	15918	20.0%
1	14347	18.0%
2	13529	17.0%
4	2870	3.6%
5	2757	3.5%
7	2600	3.3%
3	2588	3.3%
9	2386	3.0%
6	1963	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63672	80.0%
Dash Punctuation	15918	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	18728	29.4%
1	14347	22.5%
2	13529	21.2%
4	2870	4.5%
5	2757	4.3%
7	2600	4.1%
3	2588	4.1%
9	2386	3.7%
6	1963	3.1%
8	1904	3.0%

Value	Count	Frequency (%)
-	15918	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	79590	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	18728	23.5%
-	15918	20.0%
1	14347	18.0%
2	13529	17.0%
4	2870	3.6%
5	2757	3.5%
7	2600	3.3%
3	2588	3.3%
9	2386	3.0%
6	1963	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79590	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	18728	23.5%
-	15918	20.0%
1	14347	18.0%
2	13529	17.0%
4	2870	3.6%
5	2757	3.5%
7	2600	3.3%
3	2588	3.3%
9	2386	3.0%
6	1963	2.5%

minDate
Categorical

HIGH CARDINALITY

Distinct	1560
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Memory size	62.3 KiB

2015-05-07	76
2014-12-24	62
2014-08-28	61
2015-04-20	58
2014-09-22	52
Other values (1555)	7650

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	79590
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	450 ?
Unique (%)	5.7%

Sample

1st row	2011-05-16
2nd row	2013-01-25
3rd row	2013-02-22
4th row	2014-07-21
5th row	2014-11-18

Value	Count	Frequency (%)
2015-05-07	76	1.0%
2014-12-24	62	0.8%
2014-08-28	61	0.8%
2015-04-20	58	0.7%
2014-09-22	52	0.7%
2014-12-09	51	0.6%
2015-04-15	51	0.6%
2019-03-28	49	0.6%
2015-04-09	49	0.6%
2019-03-08	47	0.6%
Other values (1550)	7403	93.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
2015-05-07	76	1.0%
2014-12-24	62	0.8%
2014-08-28	61	0.8%
2015-04-20	58	0.7%
2014-09-22	52	0.7%
2014-12-09	51	0.6%
2015-04-15	51	0.6%
2019-03-28	49	0.6%
2015-04-09	49	0.6%
2019-03-08	47	0.6%
Other values (1550)	7403	93.0%

Most occurring characters

Value	Count	Frequency (%)
0	18207	22.9%
-	15918	20.0%
1	14286	17.9%
2	13809	17.4%
7	2840	3.6%
4	2702	3.4%
3	2699	3.4%
5	2608	3.3%
9	2432	3.1%
8	2078	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	63672	80.0%
Dash Punctuation	15918	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	18207	28.6%
1	14286	22.4%
2	13809	21.7%
7	2840	4.5%
4	2702	4.2%
3	2699	4.2%
5	2608	4.1%
9	2432	3.8%
8	2078	3.3%
6	2011	3.2%

Value	Count	Frequency (%)
-	15918	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	79590	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	18207	22.9%
-	15918	20.0%
1	14286	17.9%
2	13809	17.4%
7	2840	3.6%
4	2702	3.4%
3	2699	3.4%
5	2608	3.3%
9	2432	3.1%
8	2078	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79590	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	18207	22.9%
-	15918	20.0%
1	14286	17.9%
2	13809	17.4%
7	2840	3.6%
4	2702	3.4%
3	2699	3.4%
5	2608	3.3%
9	2432	3.1%
8	2078	2.6%

isLastSmallPeriod
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

False	7959

Common Values
Chart

Value	Count	Frequency (%)
False	7959	100.0%

smallPeriodDays
Real number (ℝ_≥0)

Distinct	64
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	13.016585
Minimum	6
Maximum	82
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	6
5-th percentile	6
Q1	7
median	10
Q3	15
95-th percentile	32
Maximum	82
Range	76
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	8.841983651
Coefficient of variation (CV)	0.6792859765
Kurtosis	6.272599062
Mean	13.016585
Median Absolute Deviation (MAD)	3
Skewness	2.198417294
Sum	103599
Variance	78.18067489
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	1297	16.3%
7	1063	13.4%
8	849	10.7%
9	663	8.3%
10	540	6.8%
11	457	5.7%
12	331	4.2%
13	292	3.7%
14	256	3.2%
15	244	3.1%
Other values (54)	1967	24.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	1297	16.3%
7	1063	13.4%
8	849	10.7%
9	663	8.3%
10	540	6.8%

Value	Count	Frequency (%)
82	1	< 0.1%
78	2	< 0.1%
76	1	< 0.1%
75	1	< 0.1%
74	1	< 0.1%

bigPeriodDays
Real number (ℝ_≥0)

Distinct	225
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	108.6567408
Minimum	11
Maximum	363
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	11
5-th percentile	34
Q1	64
median	95
Q3	140
95-th percentile	232
Maximum	363
Range	352
Interquartile range (IQR)	76

Descriptive statistics

Standard deviation	62.05017287
Coefficient of variation (CV)	0.5710660233
Kurtosis	1.279586503
Mean	108.6567408
Median Absolute Deviation (MAD)	37
Skewness	1.131802088
Sum	864799
Variance	3850.223953
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
67	117	1.5%
70	109	1.4%
66	103	1.3%
68	99	1.2%
79	95	1.2%
54	93	1.2%
73	89	1.1%
55	89	1.1%
107	83	1.0%
120	82	1.0%
Other values (215)	7000	88.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11	5	0.1%
12	6	0.1%
13	12	0.2%
14	14	0.2%
15	9	0.1%

Value	Count	Frequency (%)
363	20	0.3%
341	18	0.2%
332	21	0.3%
329	20	0.3%
274	35	0.4%

riseRange
Real number (ℝ_≥0)

Distinct	2471
Distinct (%)	31.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.397605931
Minimum	0.5118483412
Maximum	6.843658966
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	0.5118483412
5-th percentile	0.8983473816
Q1	1.02457956
median	1.189349112
Q3	1.549192864
95-th percentile	2.530394946
Maximum	6.843658966
Range	6.331810625
Interquartile range (IQR)	0.5246133042

Descriptive statistics

Standard deviation	0.6667616586
Coefficient of variation (CV)	0.4770741481
Kurtosis	21.95580931
Mean	1.397605931
Median Absolute Deviation (MAD)	0.2067837326
Skewness	3.884252296
Sum	11123.5456
Variance	0.4445711094
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	23	0.3%
2.334225736	21	0.3%
6.843658966	20	0.3%
2.324515996	20	0.3%
2.017815349	19	0.2%
1.845789001	18	0.2%
2.008610779	18	0.2%
2.530394946	17	0.2%
1.919002739	17	0.2%
4.594441836	17	0.2%
Other values (2461)	7769	97.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.5118483412	2	< 0.1%
0.5651372097	1	< 0.1%
0.5766419727	1	< 0.1%
0.6109682948	1	< 0.1%
0.6207565666	1	< 0.1%

Value	Count	Frequency (%)
6.843658966	20	0.3%
6.766723014	7	0.1%
5.620170801	5	0.1%
5.349867976	13	0.2%
5.3290135	12	0.2%

s_bias
Real number (ℝ)

Distinct	7958
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.102562336
Minimum	-0.09284573052
Maximum	1.106707499
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	-0.09284573052
5-th percentile	0.01599387417
Q1	0.052735814
median	0.084294713
Q3	0.1304552862
95-th percentile	0.248355741
Maximum	1.106707499
Range	1.199553229
Interquartile range (IQR)	0.07771947215

Descriptive statistics

Standard deviation	0.08221286288
Coefficient of variation (CV)	0.8015892194
Kurtosis	15.31099321
Mean	0.102562336
Median Absolute Deviation (MAD)	0.03682441578
Skewness	2.72368967
Sum	816.2936325
Variance	0.006758954823
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.05263157895	2	< 0.1%
0.1602891678	1	< 0.1%
0.1041920915	1	< 0.1%
0.04945599112	1	< 0.1%
0.07025707529	1	< 0.1%
0.1104420089	1	< 0.1%
0.1177748805	1	< 0.1%
0.08401300709	1	< 0.1%
0.166879298	1	< 0.1%
0.08309493713	1	< 0.1%
Other values (7948)	7948	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.09284573052	1	< 0.1%
-0.07673089299	1	< 0.1%
-0.0728923194	1	< 0.1%
-0.06510034263	1	< 0.1%
-0.06474820144	1	< 0.1%

Value	Count	Frequency (%)
1.106707499	1	< 0.1%
1.016061165	1	< 0.1%
0.9373325698	1	< 0.1%
0.8773552587	1	< 0.1%
0.8624338624	1	< 0.1%

m_bias
Real number (ℝ_≥0)

Distinct	7958
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.07910327637
Minimum	1.33226763 × 10¹⁵
Maximum	0.9684967843
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	1.33226763 × 10¹⁵
5-th percentile	0.004440756383
Q1	0.03109330823
median	0.06369837651
Q3	0.1068745556
95-th percentile	0.2044995751
Maximum	0.9684967843
Range	0.9684967843
Interquartile range (IQR)	0.07578124733

Descriptive statistics

Standard deviation	0.07022518631
Coefficient of variation (CV)	0.8877658364
Kurtosis	15.84828711
Mean	0.07910327637
Median Absolute Deviation (MAD)	0.03638174094
Skewness	2.607508576
Sum	629.5829767
Variance	0.004931576792
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.33226763 × 10¹⁵	2	< 0.1%
0.04954463447	1	< 0.1%
0.014943376	1	< 0.1%
0.01403454382	1	< 0.1%
0.3177959703	1	< 0.1%
0.07797642087	1	< 0.1%
0.1746770026	1	< 0.1%
0.03708387393	1	< 0.1%
0.07780040733	1	< 0.1%
0.001395746355	1	< 0.1%
Other values (7948)	7948	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.33226763 × 10¹⁵	2	< 0.1%
2.457998943 × 10⁵	1	< 0.1%
2.709219474 × 10⁵	1	< 0.1%
3.381051237 × 10⁵	1	< 0.1%
5.329993204 × 10⁵	1	< 0.1%

Value	Count	Frequency (%)
0.9684967843	1	< 0.1%
0.9465185753	1	< 0.1%
0.8779733772	1	< 0.1%
0.834602934	1	< 0.1%
0.7098167787	1	< 0.1%

l_bias
Real number (ℝ_≥0)

UNIQUE

Distinct	7959
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.06394346155
Minimum	8.881784197 × 10¹⁶
Maximum	0.6681156445
Zeros	0
Zeros (%)	0.0%
Memory size	62.3 KiB

Quantile statistics

Minimum	8.881784197 × 10¹⁶
5-th percentile	0.00217332084
Q1	0.01894001911
median	0.04842025859
Q3	0.09021202116
95-th percentile	0.1810652068
Maximum	0.6681156445
Range	0.6681156445
Interquartile range (IQR)	0.07127200205

Descriptive statistics

Standard deviation	0.06036180163
Coefficient of variation (CV)	0.9439870812
Kurtosis	6.086380221
Mean	0.06394346155
Median Absolute Deviation (MAD)	0.03350406097
Skewness	1.867215775
Sum	508.9260105
Variance	0.003643547097
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.08950569514	1	< 0.1%
0.01821796196	1	< 0.1%
0.0005867937794	1	< 0.1%
0.004983047083	1	< 0.1%
0.1326325507	1	< 0.1%
0.05491637705	1	< 0.1%
0.02024615647	1	< 0.1%
0.04603049854	1	< 0.1%
0.05457651994	1	< 0.1%
0.1288258333	1	< 0.1%
Other values (7949)	7949	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8.881784197 × 10¹⁶	1	< 0.1%
1.33226763 × 10¹⁵	1	< 0.1%
1.318768025 × 10⁶	1	< 0.1%
3.147732532 × 10⁶	1	< 0.1%
7.887741661 × 10⁶	1	< 0.1%

Value	Count	Frequency (%)
0.6681156445	1	< 0.1%
0.583336402	1	< 0.1%
0.5002695031	1	< 0.1%
0.4655514956	1	< 0.1%
0.4554244311	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	code	lossRate	startDate	endDate	minDate	isLastSmallPeriod	smallPeriodDays	bigPeriodDays	riseRange	s_bias	m_bias	l_bias
0	0	1	-0.058727	2011-05-03	2011-05-20	2011-05-16	False	10	27	0.876509	0.017394	0.077776	0.002700
1	8	1	-0.064941	2013-01-22	2013-01-29	2013-01-25	False	6	59	1.064736	0.233735	0.138455	0.022700
2	10	1	-0.147570	2013-02-01	2013-03-01	2013-02-22	False	16	59	1.064736	0.198504	0.201464	0.063554
3	18	1	-0.041165	2014-07-03	2014-07-29	2014-07-21	False	18	70	1.044012	0.015170	0.041356	0.011473
4	23	1	-0.058563	2014-11-11	2014-11-28	2014-11-18	False	14	69	1.278643	0.072567	0.011601	0.025239
5	26	1	-0.108339	2014-12-08	2014-12-17	2014-12-15	False	8	69	1.278643	0.286698	0.091743	0.031115
6	27	1	-0.083984	2014-12-17	2015-01-05	2014-12-24	False	12	69	1.278643	0.184408	0.148926	0.048943
7	31	1	-0.010025	2015-04-01	2015-04-13	2015-04-02	False	8	65	1.118075	0.070171	0.026983	0.098919
8	33	1	-0.107059	2015-04-16	2015-06-08	2015-05-18	False	37	65	1.118075	0.216236	0.124301	0.082291
9	37	1	-0.007946	2016-07-04	2016-07-13	2016-07-08	False	8	64	1.035187	0.020999	0.000687	0.008565

Last rows

	df_index	code	lossRate	startDate	endDate	minDate	isLastSmallPeriod	smallPeriodDays	bigPeriodDays	riseRange	s_bias	m_bias	l_bias
7949	20968	603993	-0.130782	2015-05-27	2015-06-05	2015-05-29	False	8	151	1.486559	0.099149	0.099388	0.180459
7950	20977	603993	-0.010526	2017-02-16	2017-02-23	2017-02-17	False	6	55	1.014613	0.151376	0.027309	0.012395
7951	20980	603993	-0.043393	2017-07-03	2017-07-10	2017-07-04	False	6	88	1.424797	0.080217	0.037798	0.007462
7952	20981	603993	-0.082949	2017-07-10	2017-07-19	2017-07-13	False	8	88	1.424797	0.285799	0.106190	0.001975
7953	20983	603993	-0.103261	2017-07-21	2017-08-03	2017-07-27	False	10	88	1.424797	0.256080	0.203537	0.020847
7954	20984	603993	-0.180723	2017-08-03	2017-08-31	2017-08-18	False	21	88	1.424797	0.102014	0.283564	0.056603
7955	20989	603993	-0.070000	2018-03-05	2018-03-13	2018-03-08	False	7	39	0.914918	0.185068	0.038754	0.006990
7956	20993	603993	-0.020619	2019-03-11	2019-03-18	2019-03-14	False	6	39	0.818557	0.055151	0.111160	0.001857
7957	20994	603993	-0.094949	2019-03-18	2019-04-02	2019-03-27	False	12	39	0.818557	0.040025	0.132945	0.012879
7958	20998	603993	-0.212314	2020-01-14	2020-02-14	2020-02-03	False	18	43	0.848416	0.114265	0.125749	0.011199

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows